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Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have a data warehouse that stored sales data. One fact table has 100 million rows. You must reduce storage needs for the data warehouse. You need to implement a solution that uses column-based storage and provides real-time analytics for the operational workload. Solution: You remove all clustered indexes, sort the transactions in the table, and create a clustered index on the table, so that the table is not a heap. Does the solution meet the goal?
Correct Answer: A
Explanation Columnstore indexes are the standard for storing and querying large data warehousing fact tables. It uses column-based data storage and query processing to achieve up to 10x query performance gains in your data warehouse over traditional row-oriented storage, and up to 10x data compression over the uncompressed data size. In SQL Server, rowstore refers to table where the underlying data storage format is a heap, a clustered index, or a memory-optimized table. References: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-overview